How to build a distributed queue in a single JSON file on object storage
Hacker News
February 21, 2026
AI-Generated Deep Dive Summary
Building a distributed queue using a single JSON file in object storage offers a simple yet effective solution for scalable systems. The system replaces traditional sharded queues with a stateless design, where a single file acts as the central queue. Pushers append jobs, while workers claim tasks using compare-and-set operations, ensuring atomicity and consistency without complex locking mechanisms. This approach eliminates bottlenecks caused by slow nodes, improving efficiency and reducing tail latency.
Initially, the system operates with a straightforward JSON file, but for higher throughput, it employs group commit—a technique that batches writes to minimize latency. By buffering incoming requests during an ongoing write operation, the system efficiently flushes the buffer upon completion, akin to how databases optimize fsync calls. This method enhances performance while maintaining simplicity and scalability.
The design leverages object storage's predictable behavior, making operations easier to manage and ensuring reliability. This approach is particularly valuable for tech enthusiasts and startups seeking cost-effective solutions for distributed systems. By prioritizing simplicity and leveraging existing infrastructure, the system demonstrates how relying on proven technologies can lead to robust, scalable architectures.
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Originally published on Hacker News on 2/21/2026